Mastodawn

Kamyar Hadian Aug 7, 2023

Thrilled to see our comprehensive review on “The therapeutic potential of targeting regulated non-apoptotic cell death” published in Nature Reviews Drug Discovery! #CellDeath #Ferroptosis @natrevdrugdisc @bstockwell @HelmholtzMunich https://www.nature.com/articles/s41573-023-00749-8

The therapeutic potential of targeting regulated non-apoptotic cell death - Nature Reviews Drug Discovery

Several forms of non-apoptotic cell death, such as necroptosis, pyroptosis, parthanatos and ferroptosis, are implicated in degenerative diseases, cancer and inflammation. This article describes the molecular pathways regulating these forms of cell death and gives an update on small-molecule inhibitors being developed to target these pathways.

Nature

Kamyar Hadian Jul 31, 2023

Great to see our paper published @cddpress: „CellDeathPred: a deep learning framework for ferroptosis and apoptosis prediction based on cell painting“. Great collaboration!
@HelmholtzMunich
#cellpainting #deeplearning #ferroptosis

https://www.nature.com/articles/s41420-023-01559-y

CellDeathPred: a deep learning framework for ferroptosis and apoptosis prediction based on cell painting - Cell Death Discovery

Cell death, such as apoptosis and ferroptosis, play essential roles in the process of development, homeostasis, and pathogenesis of acute and chronic diseases. The increasing number of studies investigating cell death types in various diseases, particularly cancer and degenerative diseases, has raised hopes for their modulation in disease therapies. However, identifying the presence of a particular cell death type is not an obvious task, as it requires computationally intensive work and costly experimental assays. To address this challenge, we present CellDeathPred, a novel deep-learning framework that uses high-content imaging based on cell painting to distinguish cells undergoing ferroptosis or apoptosis from healthy cells. In particular, we incorporate a deep neural network that effectively embeds microscopic images into a representative and discriminative latent space, classifies the learned embedding into cell death modalities, and optimizes the whole learning using the supervised contrastive loss function. We assessed the efficacy of the proposed framework using cell painting microscopy data sets from human HT-1080 cells, where multiple inducers of ferroptosis and apoptosis were used to trigger cell death. Our model confidently separates ferroptotic and apoptotic cells from healthy controls, with an average accuracy of 95% on non-confocal data sets, supporting the capacity of the CellDeathPred framework for cell death discovery.

Nature

Kamyar Hadian Jul 22, 2023

CRAIG M CREWS Jul 10, 2023

I'm honored to share this year's Gabbay Award from Brandeis University with Ray Deshaies for our work on launching the field of Targeted Protein Degradation. https://www.brandeis.edu/now/2023/july/gabbay-award-2023.html

Scientists Craig Crews and Raymond Deshaies selected for Gabbay Award | BrandeisNOW

Scientists Craig Crews and Raymond Deshaies have been honored with the 25th Jacob and Louise Gabbay Award for their pioneering work, which has opened new horizons for therapeutic interventions against cancer and other diseases.

BrandeisNOW

Kamyar Hadian Apr 28, 2023

Trends in Cell Biology Apr 28, 2023

Ubiquitination of non-protein substrates https://www.cell.com/trends/cell-biology/fulltext/S0962-8924(23)00071-5?rss=yes&utm_source=dlvr.it&utm_medium=mastodon

Kamyar Hadian Nov 25, 2022

Oded Rechavi Nov 25, 2022

Nothing in biology makes sense except in the light of RNA sequencing, but what if you can't analyze the data? We (mostly Guy) created a software to make your life easy! Read our NEW preprint & REBLOG. Please try it (follow the detailed tutorial) and give us feedback! 🤟🙏

"RNAlysis: analyze your RNA sequencing data without writing a single line of code"
https://www.biorxiv.org/content/10.1101/2022.11.25.517851v1

Here's Guy's thread with all the details:

https://twitter.com/GuyTeichman/status/1596193414885810180?s=20&t=25MH4VPG-6PcqObk04bjVA

Kamyar Hadian Nov 25, 2022

Eric Topol Nov 24, 2022

Just published
@ScienceMagazine

A universal influenza mRNA vaccine effective against all 20 lineages of influenza A and B, protective in experimental models
https://www.science.org/doi/10.1126/science.abm0271

Kamyar Hadian Nov 10, 2022

CRAIG M CREWS Nov 6, 2022

Hello Fellow Degraders!
We need to set up the #targetedproteindegradation community on Mastodon and invite more people to make the transition.
Craig

Kamyar Hadian Nov 10, 2022

Lara Mahal Nov 9, 2022

IMPORTANT PUB: Here we upend #miRNA dogma! We show up-regulation of proteins by direct action of miRNA is a common mechanism in cancer cells. We found that for ST6GAL1, which controls alpha-2,6-sialylation, miRNAs mainly upregulate the protein and glycosylation. This has important implications for miRNA research, #cancer treatments utilizing miRNA and #glycotime. See https://pubs.acs.org/doi/10.1021/acscentsci.2c00748 to download the paper! #chembio #chemicalbiology #microRNA #RNA

Kamyar Hadian Nov 8, 2022

Kamyar Hadian Nov 7, 2022

A bit late, but here is my #introduction. I am biologist and a Group Leader @HelmholtzMunich. We study #CellDeath mechanisms and translate these findings into future drugs using #ChemicalBiology and #DrugDiscovery approaches. We are particularly interested in deciphering the cellular mechanisms controlling #Ferroptosis and characterizing regulators of #Ubiquitin Signaling in #CellDeath pathways. In addition, my lab operates the Compound Screening Platform with strong expertise in #HTS and #HCS.

Kamyar Hadian Nov 8, 2022

AJ Nov 5, 2022

My top advice for #twittermigration folks looking to build an audience on #mastodon:
👉 Show up! Fill out your profile (yes you can copy your bio from the bird app) and post a few starter toots with what to expect from you
👉 Hashtags are a great way to find users outside your community. Be specific to your interests too
👉 Engage. Reply to toots!! Go out of your way to find people with mutual interests. Build your bridges while it’s easy
👉 Come back tomorrow
#newhere #introduction #twittermigrant